# load rtweet

library(rtweet)

# create credentials as objects (these are FAKE CREDENTIALS)
# you need to replace them with your own.

api_key <- "aafghaioeriokjasfkljhsa"
api_secret_key <- "234897234kasdflkjashk"

# replace "my_awesome_app" with the name of YOUR app below

token <- create_token(
  app = "my_awesome_app",
  consumer_key = api_key,
  consumer_secret = api_secret_key)

# after you run the code above, a browser window will open asking you to authorize the app. 
# Once you do, you can begin making calls

ts_plot(covid_19_tweets, "secs") +
  ggplot2::theme_minimal() +
  ggplot2::theme(plot.title = ggplot2::element_text(face = "bold")) +
  ggplot2::labs(
    x = NULL, y = NULL,
    title = "Frequency of Tweets about Covid-19 Around 1pm, May 3, 2020",
    subtitle = "Tweet counts aggregated by second",
    caption = "\nSource: Data collected from Twitter's REST API via rtweet"
  )

covid_geo_tweets <- search_tweets("coronavirus",
  "lang:en", geocode = lookup_coords("usa"), 
  n = 3000, type="recent", include_rts=FALSE
  )
geocoded <- lat_lng(covid_geo_tweets)

par(mar = c(0, 0, 0, 0))
maps::map("world", lwd = .25)
with(geocoded, points(lng, lat, pch = 20, cex = .50, col = rgb(0, .3, .7, .75)))

trump_tweets <- get_timelines(c("realDonaldTrump
"), n = 5)
head(trump_tweets$text)

obama_twitter_profile <- lookup_users("BarackObama")

obama_twitter_profile$description

obama_twitter_profile$location

obama_twitter_profile$followers_count

obama_favorites<-get_favorites("BarackObama", n=5)

watts_followers<-get_followers("duncanjwatts")